Tool Guardian runs on your own machine — the client starts it, so there is no endpoint to ping. 832 installs a week from pypi. Last commit 16 Oct 2026.
MCP router that keeps tool definitions out of the context window and finds tools on demand.
We read the source, 1 h ago · rules ccca72095570
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
const child = spawn(options.python, [BRIDGE_SCRIPT], {
saved = dict(os.environ)
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add tool-guardian -- uvx tool-guardian
{
"mcpServers": {
"tool-guardian": {
"args": [
"tool-guardian"
],
"command": "uvx"
}
}
}
[mcp_servers.tool-guardian]
command = "uvx"
args = ["tool-guardian"]
{
"mcpServers": {
"tool-guardian": {
"args": [
"tool-guardian"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"tool-guardian": {
"args": [
"tool-guardian"
],
"command": "uvx"
}
}
}
On-demand tool discovery for all your MCPs and per-subagent MCP controls to preserve context window.
Scan prompts, tool definitions and model output for injection, and guard agent tool calls.
35 MCP tools give AI agents live Rails schema, routes, models, and conventions.
Local MCP tools that keep secrets out of agent context: redact files, scan commits, verify webhooks.
Audits MCP tool definitions for patterns that make models call tools wrong or mis-fill args.
Context-window optimization: caching, compression & smart file tools that cut tokens 60-90%.
Compacting proxy for OpenAI-compatible backends, with MCP tools to search the archived history.
An MCP server that provides DevOps and DevSecOps context for the project
Answers built from our own checks of this server.